Connecting to LinkedIn...

Connecting to LinkedIn...

W1siziisijiwmtqvmdkvmzavmtavndevmzevmzkxl3n0b2nrx3bob3rvx2pvynnfynv0dg9ux29ux2tlewjvyxjkxzgwmdu4mtgxlmpwzyjdlfsiccisinrodw1iiiwimtkymhgxmjuwiyjdxq

Analytics Manager (Ecommerce) - up to £65,000

Job Title: Analytics Manager (Ecommerce) - up to £65,000
Contract Type: Permanent
Location: Luton, Bedfordshire
Industry:
Salary: £55000 - £65000 per annum + bonus + benefits
Start Date: ASAP
REF: CA/MON5838
Contact Name: Cristian Amanta
Contact Email: cristian@montash.com
Job Published: about 1 year ago

Job Description

Analytics Manager (Ecommerce) - up to £65,000

I am currently working with a Global E-commerce enterprise that was a pioneer in the dot com boom.

They are investing heavily in analytics and as such they are seeking an experienced Analytics Manager with extensive experience in customer analytics to join their team. The Advanced Analytics is a newly formed group- one that is key to the strategic direction of the company!

Advanced Analytics will utilize sophisticated statistical analysis and machine learning to work across business areas such as Marketing Analytics, Customer Insights & Analysis, Call Centre Analytics, Product Analytics, Pricing Optimization, Recommendation Engines, Personalization, etc.

You will have the opportunity to play a critical role in shaping the road ahead for my client!

Responsibilities:

· Pricing and yield management experience a strong plus; partner with Pricing team: leverage advanced analytics for Pricing Optimization and to inform pricing tests

· Understand the Customer Lifecycle; generate actionable insights and recommendations to ultimately increase ARPU (Average Revenue Per User)

· Develop statistical methodologies to predict customer behaviour and prescribe best course of action

· Uncover key customer segmentation and associated behavioural analyses

· Derive accurate customer Lifetime Value (LTV) and inform business decisions using an LTV lens

· Apply machine learning to build recommendation engines (eg: Marketing Personalization)

· Build new Products & Services for our customers, driven by Data Science

· Help our Customers understand better and engage more effectively with their own customer base (via segmentation insights, reports, new products, generated recommendations, etc.)

· Establish a culture of rapid experimentation by being a 'go to expert'

Requirements:

· MS/PhD in a quantitative discipline: Statistics, Math, Computer Science, Operations Research, etc.

· 5+ years of industry experience with Advanced Analytics

· Expertise in statistical modelling/ machine learning; Text/Sentiment Analysis a plus

· Ability to analyse structured & unstructured/semi-structured data

· Proficiency in SQL and a statistical analysis tool such as R or SAS; Python expertise a big plus.

· Experience with accessing and manipulating data in Hadoop/Hive; Spark experience a plus

· Demonstrated ability to build large-scale predictive models with real-world data.

Social Stream

Latest News

W1siziisijiwmtcvmdkvmjkvmdgvmtmvmjkvmjgyl1vudgl0bgvkigrlc2lnbiaomjuplmpwzyjdlfsiccisinrodw1iiiwimzgwedewmcmixv0

Are PSLs a Blocker or an Enabler?

2017-10-02 11:00:00 +0100

The use of a Preferred Supplier List (PSL) was intended to support and strengthen relationships and performance between organisations and their third party suppliers. As the technical landscape continues to evolve at rapid rate recruitment and demand for new skills becomes more intense. Are PSLs still the solution or an obstacle to sourcing the right talent? The traditional PSL A dedicated list of partners intended to guarantee quality and availability ...

W1siziisijiwmtcvmdkvmjevmdgvndmvmduvmtmxl1vudgl0bgvkigrlc2lnbiaomjmplmpwzyjdlfsiccisinrodw1iiiwimzgwedewmcmixv0

Why do we punish the victims of hacking?

2017-09-21 09:00:00 +0100

Hacks occur every 39 seconds, with 95% of them targeting governments, retailers and the tech industry. If the hackers are caught, they'll face prison time under the Computer Misuse Act. More often than not, the businesses who are victims of those attacks expose themselves to punishment of their own. The laws that determine the duty of protection owed to businesses and their customers is both vague and broad, making them question just how much protection...